Kai Kang
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 507 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 92 citations into it; #6,625 of 21,575 by trust here, #6,426 by citations
- Artificial Intelligence — 35 citations into it
- Model Architectures — 13 citations into it
Whom Kai Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Christian Szegedy
- Geoffrey E. Hinton
- Karen Simonyan
- Ilya Sutskever
- Shaoqing Ren
- Andrew Zisserman
- Yann LeCun
Who trusts Kai Kang overall
- Fanyi Xiao
- Christoph Feichtenhofer
- Gedas Bertasius
- Hongsheng Li
- Lianghua Huang
- Yong Jae Lee
- Xizhou Zhu
- Wanli Ouyang
- Tong Xiao
- Jialian Wu
Papers from Kai Kang's perspective
Ordered by how strongly the researchers Kai Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Object Detection from Video Tubelets with Convolutional Neural Networks (2016) — 389 citations
- T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos (2016) — 526 citations
- Object Detection in Videos with Tubelet Proposal Networks (2017) — 198 citations